Marleen de Bruijne
Professor
Image Analysis, Computational Modelling and Geometry
Universitetsparken 1
2100 København Ø
- 2022
- Published
Differentiable Boundary Point Extraction for Weakly Supervised Star-shaped Object Segmentation
Camarasa, R., Kervadec, H., Bos, D. & de Bruijne, Marleen, 2022, In: Proceedings of Machine Learning Research. 172, p. 188-198Research output: Contribution to journal › Conference article › Research › peer-review
- Published
DS6, Deformation-Aware Semi-Supervised Learning: Application to Small Vessel Segmentation with Noisy Training Data
Chatterjee, S., Prabhu, K., Pattadkal, M., Bortsova, G., Sarasaen, C., Dubost, F., Mattern, H., de Bruijne, Marleen, Speck, O. & Nürnberger, A., 22 Sep 2022, In: Journal of Imaging. 8, 10, p. 1-22 259.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
An end-to-end approach to segmentation in medical images with CNN and posterior-CRF
Chen, S., Sedghi Gamechi, Z., Dubost, F., van Tulder, G. & de Bruijne, Marleen, Feb 2022, In: Medical Image Analysis. 76, p. 1-12 102311.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Bronchial wall parameters on CT in healthy never-smoking, smoking, COPD, and asthma populations: a systematic review and meta-analysis
Dudurych, I., Muiser, S., McVeigh, N., Kerstjens, H. A. M., van den Berge, M., de Bruijne, Marleen & Vliegenthart, R., 2022, In: European Radiology. 32, p. 5308–5318Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Diaphragmatic dysfunction in neuromuscular disease, an MRI study
Harlaar, L., Ciet, P., van Tulder, G., Brusse, E., Timmermans, R. G. M., Janssen, W. G. M., de Bruijne, Marleen, van der Ploeg, A. T., Tiddens, H. A. W. M., van Doorn, P. A. & van der Beek, N. A. M. E., 2022, In: Neuromuscular Disorders. 32, 1, p. 15-24Research output: Contribution to journal › Journal article › Research › peer-review
- Published
MRI changes in diaphragmatic motion and curvature in Pompe disease over time
Harlaar, L., Ciet, P., van Tulder, G., van Kooten, H. A., van der Beek, N. A. M. E., Brusse, E., de Bruijne, Marleen, Tiddens, H. A. W. M., van der Ploeg, A. T. & van Doorn, P. A., 2022, In: European Radiology. 32, p. 8681–8691Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Deep learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge
Lalande, A., Chen, Z., Pommier, T., Decourselle, T., Qayyum, A., Salomon, M., Ginhac, D., Skandarani, Y., Boucher, A., Brahim, K., de Bruijne, M., Camarasa, R., Correia, T. M., Feng, X., Girum, K. B., Hennemuth, A., Huellebrand, M., Hussain, R., Ivantsits, M., Ma, J. & 13 others, , 2022, In: Medical Image Analysis. 79, p. 1-12 102428.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Sleep and perivascular spaces in the middle-aged and elderly population
Lysen, T. S., Yilmaz, P., Dubost, F., Ikram, M. A., de Bruijne, Marleen, Vernooij, M. W. & Luik, A. I., 2022, In: Journal of Sleep Research. 31, 2, p. 1-* e13485.Research output: Contribution to journal › Journal article › Research › peer-review
ID: 545222
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3302
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Evaluation of registration methods on thoracic CT: the EMPIRE10 challenge
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2336
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Atherosclerotic plaque component segmentation in combined carotid MRI and CTA data incorporating class label uncertainty
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2146
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Distribution, size, shape, growth potential and extent of abdominal aortic calcified deposits predict mortality in postmenopausal women
Research output: Contribution to journal › Journal article › Research › peer-review
Published